{"id":"W1994064323","doi":"10.1016/j.mpaic.2013.01.003","title":"Patient selection for day surgery","year":2013,"lang":"en","type":"article","venue":"Anaesthesia & intensive care medicine","topic":"Nausea and vomiting management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"Medicine; Selection (genetic algorithm); Surgery; General surgery; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005057139,0.0004688567,0.0009023959,0.001687809,0.001093913,0.000956067,0.0003811129,0.0008156889,0.04290684],"category_scores_gemma":[0.002006226,0.0001931852,0.001225689,0.0006801167,0.0002284193,0.0004489813,0.0006454875,0.0009231279,0.006105696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004607511,"about_ca_system_score_gemma":0.001125974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004285045,"about_ca_topic_score_gemma":0.001280927,"domain_scores_codex":[0.9994893,0.00009313091,0.00007982335,0.00008505552,0.0001012865,0.0001513695],"domain_scores_gemma":[0.9991415,0.0001076483,0.0000962332,0.0000494424,0.00009237586,0.0005128218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006260007,0.001772787,0.5456679,0.001103131,0.0003573613,0.0354027,0.0009470184,0.00146858,0.01161774,0.002637598,0.08478691,0.3079782],"study_design_scores_gemma":[0.001324332,0.0093742,0.6357961,0.002619643,0.0005074514,0.1053464,0.002723022,0.004311725,0.005170648,0.008240729,0.2242584,0.0003274453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995875,0.01043999,0.01191312,0.01061077,0.006270966,0.00446018,0.005029328,0.0003155031,0.1513726],"genre_scores_gemma":[0.9351854,0.00613877,0.01262879,0.008145108,0.004783484,0.002637212,0.006989674,0.0002601984,0.02323151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04290684,"threshold_uncertainty_score":0.1435377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219734046194244,"score_gpt":0.2700572450844402,"score_spread":0.2478599046224978,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}